Limit kriging

Abstract

A new kriging predictor is proposed that gives a better performance over the existing predictor when the constant mean assumption in the kriging model is unreasonable. Moreover, it seems to be robust to the misspecifications in the correlation parameters. The advantages of the new predictor are demonstrated using some examples from the computer experiment literature. © 2006 American Statistical Association and the American Society for Quality.